基于改进蝙蝠算法的多目标移动储能调度  

Multi-objective Mobile Energy Storage Scheduling Based On Improved Bat Algorithm

作　　者：李永刚[1] 林卉 LI Yonggang;LIN Hui(School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China)

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003

出　　处：《华北电力大学学报（自然科学版）》2024年第1期56-64,共9页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家自然科学基金资助项目(51777075)。

摘　　要：在大规模电动汽车的随机充电等因素的影响下,电网峰谷差等问题突出。首先,计算所需多类型移动储能(电动汽车、移动储能车、氢燃料发电车)调度功率,考虑交通能耗,建立各类移动储能模型。其中,针对电动汽车交通能耗,根据电价对用户参与意愿的影响,建立相应的补贴体系。其余类型则只计及交通能耗成本。然后,建立以的配电网负荷峰谷差、新能源利用率、配电网运行成本为目标,利用超平面的概念自适应地确定不同目标函数的权重,将多目标归一化,建立三类移动储能协调调度模型。而后,使用改进蝙蝠算法求解,得到多类型移动储能协同调度的方案。其中,基本蝙蝠算法引入柯西变异逆累积分布函数等改进,得到改进蝙蝠算法,该算法有效提升优化速度、全局搜索能力。最后,在IEEE33节点系统中,进行仿真验证,结果证明了该调度方案的有效性。Under the influence of random charging of large-scale electric vehicles and other factors,the peak valley difference of power grid is prominent.Firstly,we calculated the dispatching power of multiple types of mobile energy storage(electric vehicles,mobile energy storage vehicles,hydrogen fuel power generation vehicles),and established various mobile energy storage models considering traffic energy consumption.Among them,for the energy consumption of electric vehicle transportation,the corresponding subsidy system was established according to the impact of electricity price on users′willingness to participate.For the other types,only transportation energy costs were taken into account.Secondly,aiming at the distribution network load peak valley difference,new energy utilization rate and distribution network operation cost,the weight of different objective functions was adaptively determined by using the concept of hyperplane,and the multi-objective was normalized to establish three types of mobile energy storage coordinated scheduling models.Thirdly,the improved bat algorithm was used to solve the problem,and the multiple type mobile energy storage collaborative scheduling scheme was obtained.Among them,the basic bat algorithm was improved by introducing Cauchy mutation inverse cumulative distribution function,and the improved bat algorithm effectively improved the optimization speed and global search ability.Finally,the simulation results in IEEE33 bus system proved the effectiveness of the scheduling scheme.

关 键 词：多类型移动储能 交通能耗补贴 多目标 改进蝙蝠算法 

分 类 号：TM734[电气工程—电力系统及自动化]